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Build and optimize cloud-based data pipelines and modern data platforms, working with Data Scientists to enable scalable, secure data workflows using SQL, Python, and a major cloud provider.
Designs, builds, and optimizes GCP-based data pipelines, Data Lake, and Warehouse for a strategic project, ensuring data quality and performance.
Build and automate a data warehouse and dashboards for a mobile game studio using BigQuery, Python, and APIs to support game design and marketing decisions.
Designs real-time data pipelines and dashboards for IoT security systems using Python, SQL, Kafka, MQTT, and time-series databases.
Build and maintain scalable data platforms and AI pipelines, ensuring data quality and security in a dynamic environment.
Build and scale Snowflake-based data pipelines on AWS, modeling databases and writing SQL/Python ETL workflows for a global product team.
Design and maintain high-performance data pipelines using Cloudera, Talend, Kafka, and Spark, while training teams on data best practices.
Designs and builds cloud-based AI data pipelines and automated workflows using Python and SQL to process complex datasets.
Build and maintain data pipelines, enforce governance, and deliver clean data to business teams using modern ETL and cloud tools.
Build and optimize ETL/ELT pipelines on Databricks to process and transform data for business teams.
Leads Spark-based data pipelines on Databricks, coaches junior engineers, and designs scalable big-data architectures for a French tech company.
Senior Data Engineer builds and maintains cloud data pipelines and DevOps practices on AWS and Google Cloud for a digital services company.
Senior Data Engineer builds cloud-native data pipelines and integrates AI-driven workflows for a Paris-based tech consultancy using Python, SQL, and Google Cloud.
Builds and maintains data pipelines for a French social-security system, writes documentation, and mentors junior engineers.
Lead a team building scalable data pipelines and cloud infrastructure, collaborating with business stakeholders to drive data-driven decisions and best practices.
Builds and maintains Python-based ETL/ELT pipelines on GCP and Snowflake to ensure reliable, high-performance data flows for analytics and reporting.
Design and build modern data platforms, including pipelines, Lakehouse/Data Warehouse architectures, and cloud data solutions using Snowflake, Databricks, and Python/Spark.
Design and maintain cloud-native data pipelines and models to power analytics, BI, and AI initiatives for a global gambling company.
Builds large-scale AI pipelines to process Earth observation data, integrating remote sensing with machine learning for climate analytics.
Designs and maintains scalable data pipelines using Spark, Kafka, and Flink, deploys AI-ready cloud architectures on AWS/GCP, and enables GenAI model integration.
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